Vibrato Monte Carlo and the calculation of greeks

In computational ¯nance Monte Carlo simulation can be used to calculate the correct prices of ¯nancial options, and to compute the values of the as- sociated Greeks (the derivatives of the option price with respect to certain input parameters). The main methods used for the calculation of Greeks are...

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Päätekijä: Keegan, S
Aineistotyyppi: Opinnäyte
Julkaistu: University of Oxford;Mathematics 2008
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author Keegan, S
author_facet Keegan, S
author_sort Keegan, S
collection OXFORD
description In computational ¯nance Monte Carlo simulation can be used to calculate the correct prices of ¯nancial options, and to compute the values of the as- sociated Greeks (the derivatives of the option price with respect to certain input parameters). The main methods used for the calculation of Greeks are finite difference, likelihood ratio, and pathwise sensitivity. Each of these has its limitations and in particular the pathwise sensitivity approach may not be used for an option whose payoff function is discontinuous. Vibrato Monte Carlo is a new idea that addresses the limitations of previous methods; it combines the pathwise sensitivity approach for the SDE path calculation with the likelihood ratio method for payoff evaluation. This thesis discusses Vibrato Monte Carlo approximations for a digital option on an asset follow- ing one-dimensional geometric Brownian motion.
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spelling oxford-uuid:ffdc0ae9-526b-449a-9b26-1011ac2600962024-02-12T11:44:09ZVibrato Monte Carlo and the calculation of greeksThesishttp://purl.org/coar/resource_type/c_db06uuid:ffdc0ae9-526b-449a-9b26-1011ac260096Mathematical Institute - ePrintsUniversity of Oxford;Mathematics2008Keegan, SIn computational ¯nance Monte Carlo simulation can be used to calculate the correct prices of ¯nancial options, and to compute the values of the as- sociated Greeks (the derivatives of the option price with respect to certain input parameters). The main methods used for the calculation of Greeks are finite difference, likelihood ratio, and pathwise sensitivity. Each of these has its limitations and in particular the pathwise sensitivity approach may not be used for an option whose payoff function is discontinuous. Vibrato Monte Carlo is a new idea that addresses the limitations of previous methods; it combines the pathwise sensitivity approach for the SDE path calculation with the likelihood ratio method for payoff evaluation. This thesis discusses Vibrato Monte Carlo approximations for a digital option on an asset follow- ing one-dimensional geometric Brownian motion.
spellingShingle Keegan, S
Vibrato Monte Carlo and the calculation of greeks
title Vibrato Monte Carlo and the calculation of greeks
title_full Vibrato Monte Carlo and the calculation of greeks
title_fullStr Vibrato Monte Carlo and the calculation of greeks
title_full_unstemmed Vibrato Monte Carlo and the calculation of greeks
title_short Vibrato Monte Carlo and the calculation of greeks
title_sort vibrato monte carlo and the calculation of greeks
work_keys_str_mv AT keegans vibratomontecarloandthecalculationofgreeks